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main focus on our Computer-Aided Drug Discovery (CADD) platform. The successful candidate will work with a highly multidisciplinary team at VIB DS in close collaboration with a team of IT experts at VIB
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of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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have taken specialized courses in some of the following disciplines: digital signal processing, audio signal processing, machine learning, and/or machine listening. Research experience (e.g. through
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You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, the Internet of Things, Edge
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, Machine Learning Eligibility criteria The successful candidate will be expected to make significant contributions to the development of robust damage assessment tools for complex industrial structures
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, Agriculture Engineering (not agronomy), or Biosystems Engineering Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and
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and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling techniques. User of engineering
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APRIORI (Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance). The European manufacturing sector is experiencing and will continue experience a transition, characterized by the
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if applicable. * A list of your completed courses related to robotics, mechatronics, or machine learning, including online courses. * Your earliest availability. * Explain shortly how you could support teaching
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an environment that changes fast and is eagerly willing to learn new skills. One part of the work relates to cell biology, including classical cell culture, cell transfections and selection, but may